by Mikko Saari
4.8 (400 reviews)
Relevanssi – A Better Search
Relevanssi replaces the default search with a partial-match search that sorts results by relevance. It also indexes comments and shortcode content.
Compatible with WP 6.9
v4.26.0
Current Version v4.26.0
Updated 1 month ago
Last Update on 16 Dec, 2025
Synced 12 hours ago
Last Synced on
Rank
#365
—
No change
Active Installs
100K+
-37.2%
KW Avg Position
75
—
No change
Downloads
7.6M
+1,186 today
Support Resolved
33%
—
No change
Rating
96%
Review 4.8 out of 5
4.8
(400 reviews)
Next Milestone 200K
100K+
200K+
83
Ranks to Climb
-
Growth Needed
8,000,000
Active Installs
Pro
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Rank Changes
Current
#365
Change
Best
#
Downloads Growth
Downloads
Growth
Peak
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Upgrade NowReviews & Ratings
4.8
400 reviews
Overall
96%
5
366
(92%)
4
11
(3%)
3
4
(1%)
2
4
(1%)
1
15
(4%)
Tracked Keywords
Showing 1 of 1| Keyword | Position | Change | Type | Updated |
|---|---|---|---|---|
| relevance | 75 | — | Tag | 12 hours ago |
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- Historical ranking data
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Support Threads Overview
Resolved
Unresolved
15
Total Threads
5
Resolved
10
Unresolved
33%
Resolution Rate
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Start Tracking FreePlugin Details
- Version
- 4.26.0
- Last Updated
- Dec 16, 2025
- Requires WP
- 4.9+
- Tested Up To
- 6.9
- PHP Version
- 7.1 or higher
- Author
- Mikko Saari
Support & Rating
- Rating
- ★ ★ ★ ★ ★ 4.8
- Reviews
- 400
- Support Threads
- 15
- Resolved
- 33%
Keywords
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Frequently Asked Questions
Common questions about Relevanssi – A Better Search
See the top of the admin menu. There's 'User searches'. Displaying the relevance score Relevanssi stores the relevance score it uses to sort results in the $post variable. Just add something like echo $post->relevance_score to your search results template inside a PHP code block to display the relevance score. Did you mean? suggestions Relevanssi offers Google-style "Did you mean?" suggestions. See "Did you mean" suggestions in the Knowledge Base for more details.
It's the basic weighing scheme used in information retrieval. Tf stands for term frequency while idf is inverted document frequency. Term frequency is simply the number of times the term appears in a document, while document frequency is the number of documents in the database where the term appears. Thus, the weight of the word for a document increases the more often it appears in the document and the less often it appears in other documents.
Each document database is full of useless words. All the little words that appear in just about every document are completely useless for information retrieval purposes. Basically, their inverted document frequency is really low, so they never have much power in matching. Also, removing those words helps to make the index smaller and searching faster.